Microsoft Advanced eDiscovery
The Advanced eDiscovery solution in Microsoft 365 builds on the existing Microsoft eDiscovery and analytics capabilities.
Advanced eDiscovery provides an end-to-end workflow to preserve, collect, analyze, review, and export content that's responsive to your organization's internal and external investigations. It also lets legal teams manage the entire legal hold notification workflow to communicate with custodians involved in a case.
Advanced eDiscovery can help your organization respond to legal matters or internal investigations by discovering data where it lives. You can seamlessly manage eDiscovery workflows by identifying persons of interest and their data sources, seamlessly apply holds to preserve data, and then manage the legal hold communication process. By collecting data from the source, you can search the live Microsoft 365 platform to quickly find what you need. Intelligent, machine learning capabilities such as deep indexing, email threading, and near duplicate detection also help you reduce large volumes of data to a relevant data set.
Discover and collect data in-place
Advanced eDiscovery in Microsoft 365 lets you discover data at the source and staying within your Microsoft 365 security and compliance boundary. By collecting data in-place from the live system, Advanced eDiscovery reduces the friction of going back to the source and reduces unnecessary work of having to find missing content, which often happens when journaling lags in traditional eDiscovery solutions.
Manage eDiscovery workflow in one platform
Advanced eDiscovery can help you reduce the number of eDiscovery solutions you need to rely on. It provides a streamlined, end-to-end workflow, all which occurs within Microsoft 365. Advanced eDiscovery helps reduce the friction of identifying and collecting potential sources of relevant information by automatically mapping unique and shared data sources to the person of interest (known as a custodian), and by providing reporting and analytics on potentially relevant data prior to collecting it for analysis and review.
Additionally, Microsoft Graph APIs can help you automate the eDiscovery workflow and extend Advanced eDiscovery for custom solutions.
Cull data intelligently
Intelligent, machine learning capabilities in Advanced eDiscovery help you reduce the amount of data to review. These intelligent capabilities help you reduce and cull large volumes of data to a relevant set. For example, a built-in review set query helps filter only for unique content by identifying near duplicates. This capability can substantially reduce the amount of data to review.
Additional machine learning capabilities can further refine and identify relevant data using smart tags and technology assisted review tools like the Relevance modules.